Use your favourite features in-game with our Desktop AppLoL Tier List for All Roles, Platinum+
| Current patch | 26.11 |
| Last updated | 2 days ago |
Based on the matches analyzed in Patch 26.11, the top 5 highest win rate champions up to low Diamond are Brand Bot, Nilah Bot, Taric Support, Veigar Bot, and Vel'Koz Bot. By picking and mastering these champions, you will have a much higher chance of winning games in the current patch. Furthermore, if you're interested in tier list curated by our high elo players, please refer to our low elo and high elo tier lists.
Rank | Role | Champion | Changes | Tier | Win | Pick | Ban | Matches | Counters | ||
|---|---|---|---|---|---|---|---|---|---|---|---|
1 |  |  | — |  Optimal | 54.5% | 2.6% | 14.7% | 35 329 |      | ||
2 | |  | — | Optimal | 53.9% | 1.2% | 1.8% | 16 688 |    | ||
3 | |  | — | Optimal | 53.8% | 0.9% | 3.7% | 12 698 |   | ||
4 | |  | — | Optimal | 53.7% | 0.4% | 1.7% | 4 873 |     | ||
5 | |  | — | Optimal | 53.6% | 1.2% | 26.8% | 16 755 |  | ||
6 | |  | — | Optimal | 53.5% | 0.3% | 1.0% | 3 956 | | ||
7 | |  | — | Optimal | 53.5% | 0.3% | 0.3% | 4 732 |  | ||
8 | |  | — | Optimal | 53.0% | 0.9% | 4.4% | 12 061 |  | ||
9 | | | — | Optimal | 52.6% | 4.2% | 2.5% | 58 451 |  | ||
10 | | | — | Optimal | 52.3% | 11.8% | 25.8% | 163 869 |  | ||
11 | | | — | Optimal | 51.8% | 13.4% | 3.3% | 185 214 | | ||
12 | | | — | Optimal | 51.4% | 14.6% | 4.2% | 202 499 | | ||
13 | | | — | Optimal | 50.8% | 15.0% | 7.8% | 207 886 | | ||
14 | |  | — | Optimal | 49.9% | 22.5% | 27.7% | 311 186 | | ||
15 | | | — |  Great | 52.5% | 1.8% | 0.7% | 25 419 |  | ||
16 | |  | — | Great | 52.4% | 1.6% | 0.4% | 22 292 | | ||
17 | |  | — | Great | 52.1% | 0.4% | 7.9% | 4 923 | | ||
18 | | | — | Great | 51.2% | 5.2% | 6.3% | 71 696 |  | ||
19 | | | — | Great | 50.9% | 5.9% | 10.2% | 81 516 | | ||
20 | | | — | Great | 50.1% | 16.5% | 2.9% | 228 081 | | ||
21 | |  | — |  Good | 51.6% | 0.3% | 1.3% | 4 037 | | ||
22 | |  | — | Good | 51.2% | 1.1% | 21.8% | 15 225 | | ||
23 | | | — | Good | 50.7% | 3.3% | 0.4% | 45 432 | | ||
24 | | | — | Good | 50.1% | 6.2% | 11.6% | 86 184 | | ||
25 | | | — |  Situational | 50.2% | 3.4% | 1.2% | 47 011 | | ||
26 | | | — | Situational | 50.0% | 2.3% | 0.3% | 31 733 | | ||
27 | | | — | Situational | 49.7% | 3.3% | 1.4% | 45 815 | | ||
28 | | | — | Situational | 48.6% | 10.7% | 1.3% | 147 793 | | ||
29 | |  | — |  Not Good | 49.9% | 0.1% | 1.1% | 1 793 | | ||
30 | | | — | Not Good | 49.2% | 5.3% | 2.8% | 73 188 | | ||
31 | | | — | Not Good | 48.9% | 5.3% | 1.8% | 73 916 | | ||
32 | | | — | Not Good | 48.5% | 3.4% | 7.1% | 46 904 | | ||
33 | | | — | Not Good | 48.4% | 6.9% | 1.9% | 95 162 | | ||
34 | | | — | Not Good | 47.7% | 14.7% | 5.8% | 203 377 | | ||
35 | |  | — | Not Good | 47.4% | 1.3% | 34.5% | 18 021 | | ||
36 | | | — | Not Good | 47.4% | 3.9% | 1.3% | 53 601 | | ||
37 | |  | — | Not Good | 47.3% | 1.1% | 0.3% | 14 548 | | ||
38 | |  | — | Not Good | 46.9% | 1.2% | 0.2% | 16 341 | | ||